In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

Progress Corticon offers a patented DeTI (DesignTime) rules algorithm that enables users to scale linearly–regardless of the number or complexity of rules. Watch this video to learn how DeTi increases rule agility.
Learn more about Corticon here now: https://www.progress.com/corticon

published:29 Jul 2015

views:139

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

published:04 May 2016

views:149

Cloem applies NaturalLangage Processing to patents ("Algorithmic patenting"). You have a great idea ? You are an inventor ? Write down your innovation in a short paragraph, between five to fifteen lines is enough. From your initial text, Cloem creates, then timestamps and optionally publishes a fantastic number of variants called cloems(tm). For example, if you first described an "electric car", Cloem creates variants such as "hybrid car" or maybe you meant "solar car" or even an "electric bus". As a result, your initial text is clarified, paraphrased, developed, stretched, expanded, reduced in thousands of directions. How do we create variations of your text ? We use sophisticated mathematics to get a unique model in which we combine the use of specialized parsers to handle patent documents and of proprietary dictionaries resulting from the analysis of 70 000 000 million of patents, the entirety of articles taken from wikipedia and scientific articles. For example we add, delete, replace or insert words, or groups of words, in your initial text, continuously controlling the grammar. We use combinations of definitions, synonyms, hyponyms (more specific), hyperonyms (more generic) and even antonyms. Why be satisfied with just one idea when you can get thousands more ? With Cloem, your idea is amplified by the knowledge that we extracted from a corpus of millions of patents. Cloem is a complement to your patent application if you have one. With Cloem you can improve the quality of your patent application (e.g. verifying intermediate generalizations or antecedences in your patent claims, etc), you can also secure your patent filing and get rid of adverse improvement patents (e.g. by publishing our texts 18 months
after filing). Using Cloem without a patent, you get next-generation defensive publishing at the fraction of the cost of a patent filing. There are many other uses cases. With Cloem, you can invent more, better and faster ! Start now: http://www.cloem.com
CREDITS: Film editor: WENJING SHI // Images : GabrielMolina / Mathematics - Kate Hiscock C / Book - Ralph hogaboom / Arrow - Eric wustenhagen / Color grid // Videos: Pavel L Photo and Video / Shutterstock - Gonin / Shutterstock (Cloem does not recommend Shutterstock). // All other rights reserved. Copyright2015.

June 20 -- Cutting fish is a tough job... for humans. In this installment of Hello World, Bloomberg's Ashlee Vance visits a factory in Iceland to learn how "The Flexicut" is changing the fish slicing game forever.
Watch the full episode of 'Hello World: Iceland': https://www.youtube.com/watch?v=n8ZRTJQAcjU
Like this video? Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg?sub_confirmation=1
And subscribe to Bloomberg Politics for the latest political news:
http://www.youtube.com/BloombergPolitics?sub_confirmation=1
Bloomberg is the FirstWord in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com
Connect with us on...
Twitter: https://twitter.com/business
Facebook: https://www.facebook.com/bloombergbusiness
Instagram: https://www.instagram.com/bloombergbusiness/
Bloomberg Television brings you coverage of the biggest business stories and exclusive interviews with newsmakers, 24 hours a day: http://www.bloomberg.com/live
Connect with us on...
Twitter: https://twitter.com/bloombergtv
Facebook: https://www.facebook.com/BloombergTelevision
Instagram: https://www.instagram.com/bloombergtv

published:21 Jun 2016

views:9979

Dolcera PCS is AI-Powered Patent Searching & Analytics Engine. Experience the power of machine learning + scientific literature understanding + assignee name normalization for your patent analytics needs like patent landscapes, portfolio analysis, portfolio benchmarking, clearances etc. Know how you can accelerate your learning on topics you didn't know yesterday. Sign up for a free 30 day trial. After all, you can't be wrong in your decision here especially when companies like Qualcomm, L'Oreal, Microsoft and the like are using Dolcera PCS.

published:24 Apr 2017

views:340

Many software developers and technology companies feel that patents are an essential tool to protect investment in research and development. However, the law in Europe and the UK relating to the protection of computer-implemented inventions excludes certain subject matter from patentability on the grounds that it's not an "invention". Software per se is one such excluded category.
In this video, Dr JonathanMarkham from Beck Greener explains the background law. He then outlines the kinds of software-related inventions that can be patented and advises on how best to frame such an invention to meet the requirements of the UK and European patent offices.
Topics covered:
-- Benefits of patenting software-based inventions
-- Misconceptions about patenting software-based inventions
-- The Aerotel test / contribution approach
-- How the EPO's approach differs
-- How to identify whether an invention is patentable
-- Tips for protecting computer-implemented inventions
Cases referenced:
-- Aerotel Ltd v Telco Holdings Ltd
-- HTC Europe Co Ltd v Apple Inc
-- AT&T Knowledge Ventures LP v Comptroller General of Patents Designs and Trade Marks
-- VICOM/Computer-related invention (T208/84)
-- Lantana Ltd v Comptroller-General of Patents, Designs and Trade Marks
-- Halliburton Energy ServicesInc's Patent Applications
-- ToshibaResearch Ltd BL/O/453/14
-- Menashe Business Mercantile Ltd v William HillOrganisation Ltd
You can watch the full-length CPD-accredited version of this video here: http://legalpd.com/details?semid=484

Patent Value Analytics: Algorithms and Applications

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

17:13

EA Patents A New Matchmaking Algorithm Designed to Make You Spend More

EA Patents A New Matchmaking Algorithm Designed to Make You Spend More

EA Patents A New Matchmaking Algorithm Designed to Make You Spend More

Patented DETi Algorithm

Progress Corticon offers a patented DeTI (DesignTime) rules algorithm that enables users to scale linearly–regardless of the number or complexity of rules. Watch this video to learn how DeTi increases rule agility.
Learn more about Corticon here now: https://www.progress.com/corticon

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Cloem applies NaturalLangage Processing to patents ("Algorithmic patenting"). You have a great idea ? You are an inventor ? Write down your innovation in a short paragraph, between five to fifteen lines is enough. From your initial text, Cloem creates, then timestamps and optionally publishes a fantastic number of variants called cloems(tm). For example, if you first described an "electric car", Cloem creates variants such as "hybrid car" or maybe you meant "solar car" or even an "electric bus". As a result, your initial text is clarified, paraphrased, developed, stretched, expanded, reduced in thousands of directions. How do we create variations of your text ? We use sophisticated mathematics to get a unique model in which we combine the use of specialized parsers to handle patent documents and of proprietary dictionaries resulting from the analysis of 70 000 000 million of patents, the entirety of articles taken from wikipedia and scientific articles. For example we add, delete, replace or insert words, or groups of words, in your initial text, continuously controlling the grammar. We use combinations of definitions, synonyms, hyponyms (more specific), hyperonyms (more generic) and even antonyms. Why be satisfied with just one idea when you can get thousands more ? With Cloem, your idea is amplified by the knowledge that we extracted from a corpus of millions of patents. Cloem is a complement to your patent application if you have one. With Cloem you can improve the quality of your patent application (e.g. verifying intermediate generalizations or antecedences in your patent claims, etc), you can also secure your patent filing and get rid of adverse improvement patents (e.g. by publishing our texts 18 months
after filing). Using Cloem without a patent, you get next-generation defensive publishing at the fraction of the cost of a patent filing. There are many other uses cases. With Cloem, you can invent more, better and faster ! Start now: http://www.cloem.com
CREDITS: Film editor: WENJING SHI // Images : GabrielMolina / Mathematics - Kate Hiscock C / Book - Ralph hogaboom / Arrow - Eric wustenhagen / Color grid // Videos: Pavel L Photo and Video / Shutterstock - Gonin / Shutterstock (Cloem does not recommend Shutterstock). // All other rights reserved. Copyright2015.

The Incredibly Complex Algorithm Slicing Your Fish Sticks

June 20 -- Cutting fish is a tough job... for humans. In this installment of Hello World, Bloomberg's Ashlee Vance visits a factory in Iceland to learn how "The Flexicut" is changing the fish slicing game forever.
Watch the full episode of 'Hello World: Iceland': https://www.youtube.com/watch?v=n8ZRTJQAcjU
Like this video? Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg?sub_confirmation=1
And subscribe to Bloomberg Politics for the latest political news:
http://www.youtube.com/BloombergPolitics?sub_confirmation=1
Bloomberg is the FirstWord in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com
Connect with us on...
Twitter: https://twitter.com/business
Facebook: https://www.facebook.com/bloombergbusiness
Instagram: https://www.instagram.com/bloombergbusiness/
Bloomberg Television brings you coverage of the biggest business stories and exclusive interviews with newsmakers, 24 hours a day: http://www.bloomberg.com/live
Connect with us on...
Twitter: https://twitter.com/bloombergtv
Facebook: https://www.facebook.com/BloombergTelevision
Instagram: https://www.instagram.com/bloombergtv

1:05

Patent Analytics using Machine Learning

Patent Analytics using Machine Learning

Patent Analytics using Machine Learning

Dolcera PCS is AI-Powered Patent Searching & Analytics Engine. Experience the power of machine learning + scientific literature understanding + assignee name normalization for your patent analytics needs like patent landscapes, portfolio analysis, portfolio benchmarking, clearances etc. Know how you can accelerate your learning on topics you didn't know yesterday. Sign up for a free 30 day trial. After all, you can't be wrong in your decision here especially when companies like Qualcomm, L'Oreal, Microsoft and the like are using Dolcera PCS.

4:41

Patenting Software-related Inventions

Patenting Software-related Inventions

Patenting Software-related Inventions

Many software developers and technology companies feel that patents are an essential tool to protect investment in research and development. However, the law in Europe and the UK relating to the protection of computer-implemented inventions excludes certain subject matter from patentability on the grounds that it's not an "invention". Software per se is one such excluded category.
In this video, Dr JonathanMarkham from Beck Greener explains the background law. He then outlines the kinds of software-related inventions that can be patented and advises on how best to frame such an invention to meet the requirements of the UK and European patent offices.
Topics covered:
-- Benefits of patenting software-based inventions
-- Misconceptions about patenting software-based inventions
-- The Aerotel test / contribution approach
-- How the EPO's approach differs
-- How to identify whether an invention is patentable
-- Tips for protecting computer-implemented inventions
Cases referenced:
-- Aerotel Ltd v Telco Holdings Ltd
-- HTC Europe Co Ltd v Apple Inc
-- AT&T Knowledge Ventures LP v Comptroller General of Patents Designs and Trade Marks
-- VICOM/Computer-related invention (T208/84)
-- Lantana Ltd v Comptroller-General of Patents, Designs and Trade Marks
-- Halliburton Energy ServicesInc's Patent Applications
-- ToshibaResearch Ltd BL/O/453/14
-- Menashe Business Mercantile Ltd v William HillOrganisation Ltd
You can watch the full-length CPD-accredited version of this video here: http://legalpd.com/details?semid=484

Module 11: IP Valuation

Google patented Project Loon

Please watch: "Disney's DroneTechnology | Episode 1 | PatentYogi Research"
https://www.youtube.com/watch?v=Jm06Vc43yGE
-~-~~-~~~-~~-~-
SUBSCRIBE: http://www.youtube.com/user/patentyogi?sub_confirmation=1
FOLLOW PATENTYOGI:
Twitter: http://twitter.com/patentyogi
Facebook: https://www.facebook.com/patentyogi1
Pinterest: http://in.pinterest.com/diipakgupta/
Project Loon from Google is a global network of high-altitude balloons to connect people in rural and remote areas who have no Internet access at all. The balloons provide LTE connectivity, which literally makes them floating cell towers in the sky.
The balloons in the balloon network communicate with one another via optical communications using LEDs and Lasers. They can also communicate via radio frequency links with ground stations. The communication helps them coordinate for efficient operation. The balloons travel approximately 20 km above the Earth’s surface in the stratosphere. Winds in the stratosphere are stratified, and each layer of wind varies in speed and direction.
By moving with the wind, the balloons can be arranged to form large communications network. Software algorithms determine where the balloons need to go, then altitude of the balloons is varied to move each one into a layer of wind blowing in the right direction.
Patented Methods - The patent shows various ways Google plans to control altitudes of the balloons.
First patented method - To decrease the altitude, gas in the envelope is pumped out into a high-pressure storage chamber. The gas is moved into the envelope to increase the altitude.
Second patented method - Balloon runs a fuel cell in reverse to generate hydrogen gas, which is moved into the envelope to increase buoyancy and altitude. The hydrogen is pumped back to produce power via the chemical reaction of hydrogen and oxygen to produce water.
Third patented method - A portion of the envelope is painted black. To increase altitude, rotating the balloon is rotated such that black portion faces the sun, black absorbs heat which warms up the gas inside the envelope.
Google expects Project loon to rake in $10 billion dollars every year. The company aims to tap the market of 4.5 billion people who have no access to internet.
Patent Information:
US 8,967,533
Title - Balloon power sources with a buoyancy trade-off
AbstractExample embodiments may facilitate altitude control by a balloon in a balloon network. An example method involves: (a) causing a balloon to operate in a first mode, wherein the balloon comprises an envelope, a high-pressure storage chamber, and a solar power system, (b) while the balloon is operating in the first mode: (i) operating the solar power system to generate power for the balloon and (ii) using at least some of the power generated by the solar power system to move gas from the envelope to the high-pressure storage chamber such that the buoyancy of the balloon decreases; (c) causing the balloon to operate in a second mode; and while the balloon is operating in the second mode, moving gas from the high-pressure storage chamber to the envelope such that the buoyancy of the balloon increases.
Inventors: DeVaul; Richard Wayne, Teller; Eric, Biffle; Clifford L. , Weaver; Joshua

5:24

Lecture 7: The Debate Over Software Patents

Lecture 7: The Debate Over Software Patents

Lecture 7: The Debate Over Software Patents

At the end of this video, you will be able to:
- Identify the characteristics of a patentable invention.
- Understand what is not patentable and why.
- Identify the criteria that an invention must meet to earn a patent.
- Understand why non-obviousness is the most difficult hurdle to overcome.
--------------------------------
Take the full course on Udemy.com: http://buff.ly/2mJVjNS
Michelson20mm.org
Michelsonip.com
*Intellectual Property: Inventors, Entrepreneurs, Creators*
A FREE Intellectual Property online course by The Michelson 20MM Foundation & IPOEducation Foundation. Take the course on Udemy to develop a working knowledge of the basics of patents, copyrights, trademarks, and trade secrets.
Brought to you by The Michelson 20MM Foundation & IPO Education Foundation, made possible by the generous support of Alya and Gary Michelson, M.D.
--------------------------------
If you have questions or comments please email us at info@20mm.org

1:30

Featured Patent: Machine learning model for drug discovery

Featured Patent: Machine learning model for drug discovery

Featured Patent: Machine learning model for drug discovery

IBM researchers were granted a patent for the invention of machine learning models to help predict diseases and side effects from various drug information sources. Here you can see the association engine they developed to identify significant linkages between diseases and side effects commonly caused by the medications used to treat them, and a visual analytics system to support the interactive exploration of these associations. This approach could help researchers in pharmaceutical companies generate hypotheses for drug discovery.

1:45

Cluster Searching - help you find Better Patents Faster

Cluster Searching - help you find Better Patents Faster

Cluster Searching - help you find Better Patents Faster

Ambercite ClusterSearching uses unique algorithms to find unique, similar and important patents missed by conventional search tools - making it ideal as a standalone or complementary patent search tool

Software Patent Debate

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious to a programmer of ordinary skill and thus do not deserve patent protection.
FOR THE MOTION
Bob Zeidman is the president and founder of Zeidman Consulting, a premiere contract research and development firm in Silicon Valley that focuses on engineering consulting to law firms about intellectual property disputes. Clients have included Apple Computer, Cisco Systems, Cadence Design Systems, Facebook, Intel, Symantec, Texas Instruments, and Zynga. Bob is also the president and founder of Software Analysis and Forensic EngineeringCorporation, the leading provider of software intellectual property analysis tools. Bob has worked on and testified in nearly 100 cases involving billions of dollars in disputed intellectual property.
Bob is a prolific writer and instructor, giving seminars at conferences around the world. Among his publications are numerous articles on engineering and business as well as four textbooks, two novels, and three screenplays. Bob holds numerous patents and earned two bachelor's degrees, in physics and electrical engineering, from Cornell University and a master's degree in electrical engineering from Stanford University.
AGAINST THE MOTION
Edward A. Lee has been on the faculty in the Electrical Engineering
and Computer Sciences (EECS) department at U.C. Berkeley for more than 25 years. He has served as chair of the department and currently holds the Robert S. PepperDistinguished Professorship. He has been a proponent of open source software and has headed the design and development of an open source design environment known as Ptolemy. He is a co-founder of BDTI, Inc., a technical analysis and advising company, where he is currently a Senior Technical Ad visor, has consulted for a number of other companies, and has served as an expert witness and/or advisor in software patent litigation cases. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is a director of Chess, the BerkeleyCenter for Hybrid and Embedded SoftwareSystems. He has published extensively, including six books and hundreds of research papers. Prior to Berkeley, Prof. Lee was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. His Bachelors degree (B.S.) is from Yale University (1979), his masters (S.M.) from MIT (1981), and his Ph.D. from U. C. Berkeley (1986). He is a Fellow of the IEEE, was an NSFPresidential Young Investigator, and won the 1997Frederick Emmons Terman Award for EngineeringEducation.
MODERATOR
John C. Hollar, President and Chief Executive Officer, Computer History Museum. He has served as CEO since 2008, and holds bachelor's degrees in political science and journalism (BFA), and in law (JD) from Harvard Law School.

Patent on "Long Tail" for automated content authorship.

Patent on "Long Tail" for automated content authorship.
FAQ
As the video shows, I am working on reference books, reports and educational titles (not fiction or literature).
The "algorithms" depend on the genre. The most advanced use parametric, non-parametric as well as Bayesian econometrics, graph theory, and meta analysis (mostly coupled with some specialized computational linguistics and editorial rules that are required within certain genres) -- each piece is rather straight forward; the combination allows complexity. In terms of IT or programming languages, there is no rigidity to this - again it depends on the genre. If animation is the goal, then code is written to write MEL scripts, etc., which can automate Maya, which can in turn automate rendering, lights, etc., via macros. This works well, but for only certain aspects of that genre.
For more detailed discussions, here is the patent link:
http://www.google.com/patents?id=bHeBAAAAEBAJ&dq=philip+m+parker
Some titles are 98 to 100 percent computer automated (e.g. business titles, crosswords, etc.). For health titles, only the format editing and production side is automated. The text in the health books was written by medical professionals and edited by a professional editor; the computer expedited formatting using about 50 odd routines (the preface, chapter intros, glossaries, indexes, headings, margins, etc.); highlights are made to sources generally not known to internet-averse readers or medical practitioners (designed for medical libraries with internet training services).
Currently, some 2 percent of the titles rely on government sources for text. None perform a google search, spider the net, etc. Some 98 percent of the titles are wholly generated via automation programs; the applications create original information or content that cannot be found elsewhere (e.g. maximum likelihood trade estimates, latent demand forecasts via a decision calculus approach, Chinese and English crosswords, etc.) - offline applications with no interaction to the internet. In total, there are about 17 genres created this way (about 200,000 titles or so since 2000).
It can take several years to set up an application (including all human inputs, licensed sound effects, textures, models, mocap, data, or decision rules that go into any genre-specific application). Platforms (e.g. Maya) pre-exist. The incremental, or marginal creation time per title is mentioned in the video.
The genres are blind or peer reviewed and/or vetted by users (e.g. librarians or end-users) before they are put into print. The games are played by kids to see what they like. For 3D games, a pre-existing rendering engine is like a blank word document. The rendering engine is not created from scratch, but licensed (like MS Word).
I am mostly now working on education titles for Asian, African, and Native American languages that do not have educational materials (games, supplements, texts, videos, mobile phone books, etc.) written in or augmented by their languages. See my dictionary at:
http://www.websters-online-dictionary.org/credits/editor.html
to see a very small percent of the linguistic material used. Watch for a major update and linguistic augmentation to the dictionary this summer when I will also be introducing EVE. She is an "economically viable entity". A step beyond a chat bot, using some of the algorithms mentioned above (with a bit of utility theory and optimal control theory thrown in).
There is no "commercial" or "public" or "open source" software that can be used by the general public. Some applications are terabytes large. I am working on a relatively small poetry application for public use -- to be released when completed (probably in a year), which will do several forms of poetry, on any topic the user desires; and allow the user to request "another" if they do not like the first one written, or "change that line", etc.
I am not actively working on fiction novels as a priority, though the process is in place for romance novels or similar formulaic types of literature. Fun to do, but not very useful.
There are many other areas I am working on, as there are multiple avenues to explore, especially in the areas of new media (mobile and fixed), but more so in high-end analytics and knowledge discovery (i.e. generating knowledge that could not be created otherwise) as applied to business, language and public services (e.g. criminology) - where unmanageable, sparse, disintegrated or larger data sets (off-line) result in new knowledge structures usable by decision makers (e.g. connecting the dots where humans have difficulty doing so, for lack of time or expertise).
Thanks for watching the video.
Phil

Patent Value Analytics: Algorithms and Applications

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

published: 02 Feb 2017

EA Patents A New Matchmaking Algorithm Designed to Make You Spend More

Patented DETi Algorithm

Progress Corticon offers a patented DeTI (DesignTime) rules algorithm that enables users to scale linearly–regardless of the number or complexity of rules. Watch this video to learn how DeTi increases rule agility.
Learn more about Corticon here now: https://www.progress.com/corticon

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Cloem applies NaturalLangage Processing to patents ("Algorithmic patenting"). You have a great idea ? You are an inventor ? Write down your innovation in a short paragraph, between five to fifteen lines is enough. From your initial text, Cloem creates, then timestamps and optionally publishes a fantastic number of variants called cloems(tm). For example, if you first described an "electric car", Cloem creates variants such as "hybrid car" or maybe you meant "solar car" or even an "electric bus". As a result, your initial text is clarified, paraphrased, developed, stretched, expanded, reduced in thousands of directions. How do we create variations of your text ? We use sophisticated mathematics to get a unique model in which we combine the use of specialized parsers to handle patent docume...

The Incredibly Complex Algorithm Slicing Your Fish Sticks

June 20 -- Cutting fish is a tough job... for humans. In this installment of Hello World, Bloomberg's Ashlee Vance visits a factory in Iceland to learn how "The Flexicut" is changing the fish slicing game forever.
Watch the full episode of 'Hello World: Iceland': https://www.youtube.com/watch?v=n8ZRTJQAcjU
Like this video? Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg?sub_confirmation=1
And subscribe to Bloomberg Politics for the latest political news:
http://www.youtube.com/BloombergPolitics?sub_confirmation=1
Bloomberg is the FirstWord in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com
Connect with us on...
Twitter: https://twitter.com/business
Facebook: https://www.faceb...

published: 21 Jun 2016

Patent Analytics using Machine Learning

Dolcera PCS is AI-Powered Patent Searching & Analytics Engine. Experience the power of machine learning + scientific literature understanding + assignee name normalization for your patent analytics needs like patent landscapes, portfolio analysis, portfolio benchmarking, clearances etc. Know how you can accelerate your learning on topics you didn't know yesterday. Sign up for a free 30 day trial. After all, you can't be wrong in your decision here especially when companies like Qualcomm, L'Oreal, Microsoft and the like are using Dolcera PCS.

published: 24 Apr 2017

Patenting Software-related Inventions

Many software developers and technology companies feel that patents are an essential tool to protect investment in research and development. However, the law in Europe and the UK relating to the protection of computer-implemented inventions excludes certain subject matter from patentability on the grounds that it's not an "invention". Software per se is one such excluded category.
In this video, Dr JonathanMarkham from Beck Greener explains the background law. He then outlines the kinds of software-related inventions that can be patented and advises on how best to frame such an invention to meet the requirements of the UK and European patent offices.
Topics covered:
-- Benefits of patenting software-based inventions
-- Misconceptions about patenting software-based inventions
-- Th...

published: 08 May 2015

Module 11: IP Valuation

Google patented Project Loon

Please watch: "Disney's DroneTechnology | Episode 1 | PatentYogi Research"
https://www.youtube.com/watch?v=Jm06Vc43yGE
-~-~~-~~~-~~-~-
SUBSCRIBE: http://www.youtube.com/user/patentyogi?sub_confirmation=1
FOLLOW PATENTYOGI:
Twitter: http://twitter.com/patentyogi
Facebook: https://www.facebook.com/patentyogi1
Pinterest: http://in.pinterest.com/diipakgupta/
Project Loon from Google is a global network of high-altitude balloons to connect people in rural and remote areas who have no Internet access at all. The balloons provide LTE connectivity, which literally makes them floating cell towers in the sky.
The balloons in the balloon network communicate with one another via optical communications using LEDs and Lasers. They can also communicate via radio frequency links with ground statio...

published: 08 Mar 2015

Lecture 7: The Debate Over Software Patents

At the end of this video, you will be able to:
- Identify the characteristics of a patentable invention.
- Understand what is not patentable and why.
- Identify the criteria that an invention must meet to earn a patent.
- Understand why non-obviousness is the most difficult hurdle to overcome.
--------------------------------
Take the full course on Udemy.com: http://buff.ly/2mJVjNS
Michelson20mm.org
Michelsonip.com
*Intellectual Property: Inventors, Entrepreneurs, Creators*
A FREE Intellectual Property online course by The Michelson 20MM Foundation & IPOEducation Foundation. Take the course on Udemy to develop a working knowledge of the basics of patents, copyrights, trademarks, and trade secrets.
Brought to you by The Michelson 20MM Foundation & IPO Education Foundation, made possi...

published: 01 Mar 2017

Featured Patent: Machine learning model for drug discovery

IBM researchers were granted a patent for the invention of machine learning models to help predict diseases and side effects from various drug information sources. Here you can see the association engine they developed to identify significant linkages between diseases and side effects commonly caused by the medications used to treat them, and a visual analytics system to support the interactive exploration of these associations. This approach could help researchers in pharmaceutical companies generate hypotheses for drug discovery.

published: 07 Apr 2017

Cluster Searching - help you find Better Patents Faster

Ambercite ClusterSearching uses unique algorithms to find unique, similar and important patents missed by conventional search tools - making it ideal as a standalone or complementary patent search tool

Software Patent Debate

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious ...

SoW Middle Earth Denuvo DRM cracked in under a day
http://www.game-debate.com/news/23879/middle-earth-shadow-of-wars-denuvo-drm-cracked-in-under-a-day
EA Star Wars lootboxes
http://www.christianpost.com/news/star-wars-battlefront-2-slammed-for-loot-boxes-ea-responds-to-criticisms-202796/
EA shuts down Visceral games
https://arstechnica.com/gaming/2017/10/ea-shuts-down-visceral-will-reboot-its-star-wars-game-due-to-marketplace/
Activision has matchmaking patent algorithm designed to make you spend money
https://www.bleedingcool.com/2017/10/17/activision-patented-matchmaking-algorithm-designed-make-spend-money/
Raiden will be banned for the entirety of E-league Injustice 2 world championships
http://shoryuken.com/2017/10/08/raiden-will-be-banned-for-the-entirety-of-the-eleague-injustice-...

published: 18 Oct 2017

Patent on "Long Tail" for automated content authorship.

Patent on "Long Tail" for automated content authorship.
FAQ
As the video shows, I am working on reference books, reports and educational titles (not fiction or literature).
The "algorithms" depend on the genre. The most advanced use parametric, non-parametric as well as Bayesian econometrics, graph theory, and meta analysis (mostly coupled with some specialized computational linguistics and editorial rules that are required within certain genres) -- each piece is rather straight forward; the combination allows complexity. In terms of IT or programming languages, there is no rigidity to this - again it depends on the genre. If animation is the goal, then code is written to write MEL scripts, etc., which can automate Maya, which can in turn automate rendering, lights, etc., via mac...

Patent Value Analytics: Algorithms and Applications

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio mana...

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

published:02 Feb 2017

views:94

back

EA Patents A New Matchmaking Algorithm Designed to Make You Spend More

Patented DETi Algorithm

Progress Corticon offers a patented DeTI (DesignTime) rules algorithm that enables users to scale linearly–regardless of the number or complexity of rules. Wat...

Progress Corticon offers a patented DeTI (DesignTime) rules algorithm that enables users to scale linearly–regardless of the number or complexity of rules. Watch this video to learn how DeTi increases rule agility.
Learn more about Corticon here now: https://www.progress.com/corticon

Progress Corticon offers a patented DeTI (DesignTime) rules algorithm that enables users to scale linearly–regardless of the number or complexity of rules. Watch this video to learn how DeTi increases rule agility.
Learn more about Corticon here now: https://www.progress.com/corticon

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on softwar...

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Cloem applies NaturalLangage Processing to patents ("Algorithmic patenting"). You have a great idea ? You are an inventor ? Write down your innovation in a sho...

Cloem applies NaturalLangage Processing to patents ("Algorithmic patenting"). You have a great idea ? You are an inventor ? Write down your innovation in a short paragraph, between five to fifteen lines is enough. From your initial text, Cloem creates, then timestamps and optionally publishes a fantastic number of variants called cloems(tm). For example, if you first described an "electric car", Cloem creates variants such as "hybrid car" or maybe you meant "solar car" or even an "electric bus". As a result, your initial text is clarified, paraphrased, developed, stretched, expanded, reduced in thousands of directions. How do we create variations of your text ? We use sophisticated mathematics to get a unique model in which we combine the use of specialized parsers to handle patent documents and of proprietary dictionaries resulting from the analysis of 70 000 000 million of patents, the entirety of articles taken from wikipedia and scientific articles. For example we add, delete, replace or insert words, or groups of words, in your initial text, continuously controlling the grammar. We use combinations of definitions, synonyms, hyponyms (more specific), hyperonyms (more generic) and even antonyms. Why be satisfied with just one idea when you can get thousands more ? With Cloem, your idea is amplified by the knowledge that we extracted from a corpus of millions of patents. Cloem is a complement to your patent application if you have one. With Cloem you can improve the quality of your patent application (e.g. verifying intermediate generalizations or antecedences in your patent claims, etc), you can also secure your patent filing and get rid of adverse improvement patents (e.g. by publishing our texts 18 months
after filing). Using Cloem without a patent, you get next-generation defensive publishing at the fraction of the cost of a patent filing. There are many other uses cases. With Cloem, you can invent more, better and faster ! Start now: http://www.cloem.com
CREDITS: Film editor: WENJING SHI // Images : GabrielMolina / Mathematics - Kate Hiscock C / Book - Ralph hogaboom / Arrow - Eric wustenhagen / Color grid // Videos: Pavel L Photo and Video / Shutterstock - Gonin / Shutterstock (Cloem does not recommend Shutterstock). // All other rights reserved. Copyright2015.

Cloem applies NaturalLangage Processing to patents ("Algorithmic patenting"). You have a great idea ? You are an inventor ? Write down your innovation in a short paragraph, between five to fifteen lines is enough. From your initial text, Cloem creates, then timestamps and optionally publishes a fantastic number of variants called cloems(tm). For example, if you first described an "electric car", Cloem creates variants such as "hybrid car" or maybe you meant "solar car" or even an "electric bus". As a result, your initial text is clarified, paraphrased, developed, stretched, expanded, reduced in thousands of directions. How do we create variations of your text ? We use sophisticated mathematics to get a unique model in which we combine the use of specialized parsers to handle patent documents and of proprietary dictionaries resulting from the analysis of 70 000 000 million of patents, the entirety of articles taken from wikipedia and scientific articles. For example we add, delete, replace or insert words, or groups of words, in your initial text, continuously controlling the grammar. We use combinations of definitions, synonyms, hyponyms (more specific), hyperonyms (more generic) and even antonyms. Why be satisfied with just one idea when you can get thousands more ? With Cloem, your idea is amplified by the knowledge that we extracted from a corpus of millions of patents. Cloem is a complement to your patent application if you have one. With Cloem you can improve the quality of your patent application (e.g. verifying intermediate generalizations or antecedences in your patent claims, etc), you can also secure your patent filing and get rid of adverse improvement patents (e.g. by publishing our texts 18 months
after filing). Using Cloem without a patent, you get next-generation defensive publishing at the fraction of the cost of a patent filing. There are many other uses cases. With Cloem, you can invent more, better and faster ! Start now: http://www.cloem.com
CREDITS: Film editor: WENJING SHI // Images : GabrielMolina / Mathematics - Kate Hiscock C / Book - Ralph hogaboom / Arrow - Eric wustenhagen / Color grid // Videos: Pavel L Photo and Video / Shutterstock - Gonin / Shutterstock (Cloem does not recommend Shutterstock). // All other rights reserved. Copyright2015.

June 20 -- Cutting fish is a tough job... for humans. In this installment of Hello World, Bloomberg's Ashlee Vance visits a factory in Iceland to learn how "The Flexicut" is changing the fish slicing game forever.
Watch the full episode of 'Hello World: Iceland': https://www.youtube.com/watch?v=n8ZRTJQAcjU
Like this video? Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg?sub_confirmation=1
And subscribe to Bloomberg Politics for the latest political news:
http://www.youtube.com/BloombergPolitics?sub_confirmation=1
Bloomberg is the FirstWord in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com
Connect with us on...
Twitter: https://twitter.com/business
Facebook: https://www.facebook.com/bloombergbusiness
Instagram: https://www.instagram.com/bloombergbusiness/
Bloomberg Television brings you coverage of the biggest business stories and exclusive interviews with newsmakers, 24 hours a day: http://www.bloomberg.com/live
Connect with us on...
Twitter: https://twitter.com/bloombergtv
Facebook: https://www.facebook.com/BloombergTelevision
Instagram: https://www.instagram.com/bloombergtv

June 20 -- Cutting fish is a tough job... for humans. In this installment of Hello World, Bloomberg's Ashlee Vance visits a factory in Iceland to learn how "The Flexicut" is changing the fish slicing game forever.
Watch the full episode of 'Hello World: Iceland': https://www.youtube.com/watch?v=n8ZRTJQAcjU
Like this video? Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg?sub_confirmation=1
And subscribe to Bloomberg Politics for the latest political news:
http://www.youtube.com/BloombergPolitics?sub_confirmation=1
Bloomberg is the FirstWord in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com
Connect with us on...
Twitter: https://twitter.com/business
Facebook: https://www.facebook.com/bloombergbusiness
Instagram: https://www.instagram.com/bloombergbusiness/
Bloomberg Television brings you coverage of the biggest business stories and exclusive interviews with newsmakers, 24 hours a day: http://www.bloomberg.com/live
Connect with us on...
Twitter: https://twitter.com/bloombergtv
Facebook: https://www.facebook.com/BloombergTelevision
Instagram: https://www.instagram.com/bloombergtv

Dolcera PCS is AI-Powered Patent Searching & Analytics Engine. Experience the power of machine learning + scientific literature understanding + assignee name normalization for your patent analytics needs like patent landscapes, portfolio analysis, portfolio benchmarking, clearances etc. Know how you can accelerate your learning on topics you didn't know yesterday. Sign up for a free 30 day trial. After all, you can't be wrong in your decision here especially when companies like Qualcomm, L'Oreal, Microsoft and the like are using Dolcera PCS.

Dolcera PCS is AI-Powered Patent Searching & Analytics Engine. Experience the power of machine learning + scientific literature understanding + assignee name normalization for your patent analytics needs like patent landscapes, portfolio analysis, portfolio benchmarking, clearances etc. Know how you can accelerate your learning on topics you didn't know yesterday. Sign up for a free 30 day trial. After all, you can't be wrong in your decision here especially when companies like Qualcomm, L'Oreal, Microsoft and the like are using Dolcera PCS.

Patenting Software-related Inventions

Many software developers and technology companies feel that patents are an essential tool to protect investment in research and development. However, the law in...

Many software developers and technology companies feel that patents are an essential tool to protect investment in research and development. However, the law in Europe and the UK relating to the protection of computer-implemented inventions excludes certain subject matter from patentability on the grounds that it's not an "invention". Software per se is one such excluded category.
In this video, Dr JonathanMarkham from Beck Greener explains the background law. He then outlines the kinds of software-related inventions that can be patented and advises on how best to frame such an invention to meet the requirements of the UK and European patent offices.
Topics covered:
-- Benefits of patenting software-based inventions
-- Misconceptions about patenting software-based inventions
-- The Aerotel test / contribution approach
-- How the EPO's approach differs
-- How to identify whether an invention is patentable
-- Tips for protecting computer-implemented inventions
Cases referenced:
-- Aerotel Ltd v Telco Holdings Ltd
-- HTC Europe Co Ltd v Apple Inc
-- AT&T Knowledge Ventures LP v Comptroller General of Patents Designs and Trade Marks
-- VICOM/Computer-related invention (T208/84)
-- Lantana Ltd v Comptroller-General of Patents, Designs and Trade Marks
-- Halliburton Energy ServicesInc's Patent Applications
-- ToshibaResearch Ltd BL/O/453/14
-- Menashe Business Mercantile Ltd v William HillOrganisation Ltd
You can watch the full-length CPD-accredited version of this video here: http://legalpd.com/details?semid=484

Many software developers and technology companies feel that patents are an essential tool to protect investment in research and development. However, the law in Europe and the UK relating to the protection of computer-implemented inventions excludes certain subject matter from patentability on the grounds that it's not an "invention". Software per se is one such excluded category.
In this video, Dr JonathanMarkham from Beck Greener explains the background law. He then outlines the kinds of software-related inventions that can be patented and advises on how best to frame such an invention to meet the requirements of the UK and European patent offices.
Topics covered:
-- Benefits of patenting software-based inventions
-- Misconceptions about patenting software-based inventions
-- The Aerotel test / contribution approach
-- How the EPO's approach differs
-- How to identify whether an invention is patentable
-- Tips for protecting computer-implemented inventions
Cases referenced:
-- Aerotel Ltd v Telco Holdings Ltd
-- HTC Europe Co Ltd v Apple Inc
-- AT&T Knowledge Ventures LP v Comptroller General of Patents Designs and Trade Marks
-- VICOM/Computer-related invention (T208/84)
-- Lantana Ltd v Comptroller-General of Patents, Designs and Trade Marks
-- Halliburton Energy ServicesInc's Patent Applications
-- ToshibaResearch Ltd BL/O/453/14
-- Menashe Business Mercantile Ltd v William HillOrganisation Ltd
You can watch the full-length CPD-accredited version of this video here: http://legalpd.com/details?semid=484

Please watch: "Disney's DroneTechnology | Episode 1 | PatentYogi Research"
https://www.youtube.com/watch?v=Jm06Vc43yGE
-~-~~-~~~-~~-~-
SUBSCRIBE: http://www.youtube.com/user/patentyogi?sub_confirmation=1
FOLLOW PATENTYOGI:
Twitter: http://twitter.com/patentyogi
Facebook: https://www.facebook.com/patentyogi1
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Project Loon from Google is a global network of high-altitude balloons to connect people in rural and remote areas who have no Internet access at all. The balloons provide LTE connectivity, which literally makes them floating cell towers in the sky.
The balloons in the balloon network communicate with one another via optical communications using LEDs and Lasers. They can also communicate via radio frequency links with ground stations. The communication helps them coordinate for efficient operation. The balloons travel approximately 20 km above the Earth’s surface in the stratosphere. Winds in the stratosphere are stratified, and each layer of wind varies in speed and direction.
By moving with the wind, the balloons can be arranged to form large communications network. Software algorithms determine where the balloons need to go, then altitude of the balloons is varied to move each one into a layer of wind blowing in the right direction.
Patented Methods - The patent shows various ways Google plans to control altitudes of the balloons.
First patented method - To decrease the altitude, gas in the envelope is pumped out into a high-pressure storage chamber. The gas is moved into the envelope to increase the altitude.
Second patented method - Balloon runs a fuel cell in reverse to generate hydrogen gas, which is moved into the envelope to increase buoyancy and altitude. The hydrogen is pumped back to produce power via the chemical reaction of hydrogen and oxygen to produce water.
Third patented method - A portion of the envelope is painted black. To increase altitude, rotating the balloon is rotated such that black portion faces the sun, black absorbs heat which warms up the gas inside the envelope.
Google expects Project loon to rake in $10 billion dollars every year. The company aims to tap the market of 4.5 billion people who have no access to internet.
Patent Information:
US 8,967,533
Title - Balloon power sources with a buoyancy trade-off
AbstractExample embodiments may facilitate altitude control by a balloon in a balloon network. An example method involves: (a) causing a balloon to operate in a first mode, wherein the balloon comprises an envelope, a high-pressure storage chamber, and a solar power system, (b) while the balloon is operating in the first mode: (i) operating the solar power system to generate power for the balloon and (ii) using at least some of the power generated by the solar power system to move gas from the envelope to the high-pressure storage chamber such that the buoyancy of the balloon decreases; (c) causing the balloon to operate in a second mode; and while the balloon is operating in the second mode, moving gas from the high-pressure storage chamber to the envelope such that the buoyancy of the balloon increases.
Inventors: DeVaul; Richard Wayne, Teller; Eric, Biffle; Clifford L. , Weaver; Joshua

Please watch: "Disney's DroneTechnology | Episode 1 | PatentYogi Research"
https://www.youtube.com/watch?v=Jm06Vc43yGE
-~-~~-~~~-~~-~-
SUBSCRIBE: http://www.youtube.com/user/patentyogi?sub_confirmation=1
FOLLOW PATENTYOGI:
Twitter: http://twitter.com/patentyogi
Facebook: https://www.facebook.com/patentyogi1
Pinterest: http://in.pinterest.com/diipakgupta/
Project Loon from Google is a global network of high-altitude balloons to connect people in rural and remote areas who have no Internet access at all. The balloons provide LTE connectivity, which literally makes them floating cell towers in the sky.
The balloons in the balloon network communicate with one another via optical communications using LEDs and Lasers. They can also communicate via radio frequency links with ground stations. The communication helps them coordinate for efficient operation. The balloons travel approximately 20 km above the Earth’s surface in the stratosphere. Winds in the stratosphere are stratified, and each layer of wind varies in speed and direction.
By moving with the wind, the balloons can be arranged to form large communications network. Software algorithms determine where the balloons need to go, then altitude of the balloons is varied to move each one into a layer of wind blowing in the right direction.
Patented Methods - The patent shows various ways Google plans to control altitudes of the balloons.
First patented method - To decrease the altitude, gas in the envelope is pumped out into a high-pressure storage chamber. The gas is moved into the envelope to increase the altitude.
Second patented method - Balloon runs a fuel cell in reverse to generate hydrogen gas, which is moved into the envelope to increase buoyancy and altitude. The hydrogen is pumped back to produce power via the chemical reaction of hydrogen and oxygen to produce water.
Third patented method - A portion of the envelope is painted black. To increase altitude, rotating the balloon is rotated such that black portion faces the sun, black absorbs heat which warms up the gas inside the envelope.
Google expects Project loon to rake in $10 billion dollars every year. The company aims to tap the market of 4.5 billion people who have no access to internet.
Patent Information:
US 8,967,533
Title - Balloon power sources with a buoyancy trade-off
AbstractExample embodiments may facilitate altitude control by a balloon in a balloon network. An example method involves: (a) causing a balloon to operate in a first mode, wherein the balloon comprises an envelope, a high-pressure storage chamber, and a solar power system, (b) while the balloon is operating in the first mode: (i) operating the solar power system to generate power for the balloon and (ii) using at least some of the power generated by the solar power system to move gas from the envelope to the high-pressure storage chamber such that the buoyancy of the balloon decreases; (c) causing the balloon to operate in a second mode; and while the balloon is operating in the second mode, moving gas from the high-pressure storage chamber to the envelope such that the buoyancy of the balloon increases.
Inventors: DeVaul; Richard Wayne, Teller; Eric, Biffle; Clifford L. , Weaver; Joshua

Lecture 7: The Debate Over Software Patents

At the end of this video, you will be able to:
- Identify the characteristics of a patentable invention.
- Understand what is not patentable and why.
- Identify...

At the end of this video, you will be able to:
- Identify the characteristics of a patentable invention.
- Understand what is not patentable and why.
- Identify the criteria that an invention must meet to earn a patent.
- Understand why non-obviousness is the most difficult hurdle to overcome.
--------------------------------
Take the full course on Udemy.com: http://buff.ly/2mJVjNS
Michelson20mm.org
Michelsonip.com
*Intellectual Property: Inventors, Entrepreneurs, Creators*
A FREE Intellectual Property online course by The Michelson 20MM Foundation & IPOEducation Foundation. Take the course on Udemy to develop a working knowledge of the basics of patents, copyrights, trademarks, and trade secrets.
Brought to you by The Michelson 20MM Foundation & IPO Education Foundation, made possible by the generous support of Alya and Gary Michelson, M.D.
--------------------------------
If you have questions or comments please email us at info@20mm.org

At the end of this video, you will be able to:
- Identify the characteristics of a patentable invention.
- Understand what is not patentable and why.
- Identify the criteria that an invention must meet to earn a patent.
- Understand why non-obviousness is the most difficult hurdle to overcome.
--------------------------------
Take the full course on Udemy.com: http://buff.ly/2mJVjNS
Michelson20mm.org
Michelsonip.com
*Intellectual Property: Inventors, Entrepreneurs, Creators*
A FREE Intellectual Property online course by The Michelson 20MM Foundation & IPOEducation Foundation. Take the course on Udemy to develop a working knowledge of the basics of patents, copyrights, trademarks, and trade secrets.
Brought to you by The Michelson 20MM Foundation & IPO Education Foundation, made possible by the generous support of Alya and Gary Michelson, M.D.
--------------------------------
If you have questions or comments please email us at info@20mm.org

Featured Patent: Machine learning model for drug discovery

IBM researchers were granted a patent for the invention of machine learning models to help predict diseases and side effects from various drug information sourc...

IBM researchers were granted a patent for the invention of machine learning models to help predict diseases and side effects from various drug information sources. Here you can see the association engine they developed to identify significant linkages between diseases and side effects commonly caused by the medications used to treat them, and a visual analytics system to support the interactive exploration of these associations. This approach could help researchers in pharmaceutical companies generate hypotheses for drug discovery.

IBM researchers were granted a patent for the invention of machine learning models to help predict diseases and side effects from various drug information sources. Here you can see the association engine they developed to identify significant linkages between diseases and side effects commonly caused by the medications used to treat them, and a visual analytics system to support the interactive exploration of these associations. This approach could help researchers in pharmaceutical companies generate hypotheses for drug discovery.

Cluster Searching - help you find Better Patents Faster

Ambercite ClusterSearching uses unique algorithms to find unique, similar and important patents missed by conventional search tools - making it ideal as a stan...

Ambercite ClusterSearching uses unique algorithms to find unique, similar and important patents missed by conventional search tools - making it ideal as a standalone or complementary patent search tool

Ambercite ClusterSearching uses unique algorithms to find unique, similar and important patents missed by conventional search tools - making it ideal as a standalone or complementary patent search tool

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious to a programmer of ordinary skill and thus do not deserve patent protection.
FOR THE MOTION
Bob Zeidman is the president and founder of Zeidman Consulting, a premiere contract research and development firm in Silicon Valley that focuses on engineering consulting to law firms about intellectual property disputes. Clients have included Apple Computer, Cisco Systems, Cadence Design Systems, Facebook, Intel, Symantec, Texas Instruments, and Zynga. Bob is also the president and founder of Software Analysis and Forensic EngineeringCorporation, the leading provider of software intellectual property analysis tools. Bob has worked on and testified in nearly 100 cases involving billions of dollars in disputed intellectual property.
Bob is a prolific writer and instructor, giving seminars at conferences around the world. Among his publications are numerous articles on engineering and business as well as four textbooks, two novels, and three screenplays. Bob holds numerous patents and earned two bachelor's degrees, in physics and electrical engineering, from Cornell University and a master's degree in electrical engineering from Stanford University.
AGAINST THE MOTION
Edward A. Lee has been on the faculty in the Electrical Engineering
and Computer Sciences (EECS) department at U.C. Berkeley for more than 25 years. He has served as chair of the department and currently holds the Robert S. PepperDistinguished Professorship. He has been a proponent of open source software and has headed the design and development of an open source design environment known as Ptolemy. He is a co-founder of BDTI, Inc., a technical analysis and advising company, where he is currently a Senior Technical Ad visor, has consulted for a number of other companies, and has served as an expert witness and/or advisor in software patent litigation cases. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is a director of Chess, the BerkeleyCenter for Hybrid and Embedded SoftwareSystems. He has published extensively, including six books and hundreds of research papers. Prior to Berkeley, Prof. Lee was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. His Bachelors degree (B.S.) is from Yale University (1979), his masters (S.M.) from MIT (1981), and his Ph.D. from U. C. Berkeley (1986). He is a Fellow of the IEEE, was an NSFPresidential Young Investigator, and won the 1997Frederick Emmons Terman Award for EngineeringEducation.
MODERATOR
John C. Hollar, President and Chief Executive Officer, Computer History Museum. He has served as CEO since 2008, and holds bachelor's degrees in political science and journalism (BFA), and in law (JD) from Harvard Law School.

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious to a programmer of ordinary skill and thus do not deserve patent protection.
FOR THE MOTION
Bob Zeidman is the president and founder of Zeidman Consulting, a premiere contract research and development firm in Silicon Valley that focuses on engineering consulting to law firms about intellectual property disputes. Clients have included Apple Computer, Cisco Systems, Cadence Design Systems, Facebook, Intel, Symantec, Texas Instruments, and Zynga. Bob is also the president and founder of Software Analysis and Forensic EngineeringCorporation, the leading provider of software intellectual property analysis tools. Bob has worked on and testified in nearly 100 cases involving billions of dollars in disputed intellectual property.
Bob is a prolific writer and instructor, giving seminars at conferences around the world. Among his publications are numerous articles on engineering and business as well as four textbooks, two novels, and three screenplays. Bob holds numerous patents and earned two bachelor's degrees, in physics and electrical engineering, from Cornell University and a master's degree in electrical engineering from Stanford University.
AGAINST THE MOTION
Edward A. Lee has been on the faculty in the Electrical Engineering
and Computer Sciences (EECS) department at U.C. Berkeley for more than 25 years. He has served as chair of the department and currently holds the Robert S. PepperDistinguished Professorship. He has been a proponent of open source software and has headed the design and development of an open source design environment known as Ptolemy. He is a co-founder of BDTI, Inc., a technical analysis and advising company, where he is currently a Senior Technical Ad visor, has consulted for a number of other companies, and has served as an expert witness and/or advisor in software patent litigation cases. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is a director of Chess, the BerkeleyCenter for Hybrid and Embedded SoftwareSystems. He has published extensively, including six books and hundreds of research papers. Prior to Berkeley, Prof. Lee was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. His Bachelors degree (B.S.) is from Yale University (1979), his masters (S.M.) from MIT (1981), and his Ph.D. from U. C. Berkeley (1986). He is a Fellow of the IEEE, was an NSFPresidential Young Investigator, and won the 1997Frederick Emmons Terman Award for EngineeringEducation.
MODERATOR
John C. Hollar, President and Chief Executive Officer, Computer History Museum. He has served as CEO since 2008, and holds bachelor's degrees in political science and journalism (BFA), and in law (JD) from Harvard Law School.

Patent on "Long Tail" for automated content authorship.
FAQ
As the video shows, I am working on reference books, reports and educational titles (not fiction or literature).
The "algorithms" depend on the genre. The most advanced use parametric, non-parametric as well as Bayesian econometrics, graph theory, and meta analysis (mostly coupled with some specialized computational linguistics and editorial rules that are required within certain genres) -- each piece is rather straight forward; the combination allows complexity. In terms of IT or programming languages, there is no rigidity to this - again it depends on the genre. If animation is the goal, then code is written to write MEL scripts, etc., which can automate Maya, which can in turn automate rendering, lights, etc., via macros. This works well, but for only certain aspects of that genre.
For more detailed discussions, here is the patent link:
http://www.google.com/patents?id=bHeBAAAAEBAJ&dq=philip+m+parker
Some titles are 98 to 100 percent computer automated (e.g. business titles, crosswords, etc.). For health titles, only the format editing and production side is automated. The text in the health books was written by medical professionals and edited by a professional editor; the computer expedited formatting using about 50 odd routines (the preface, chapter intros, glossaries, indexes, headings, margins, etc.); highlights are made to sources generally not known to internet-averse readers or medical practitioners (designed for medical libraries with internet training services).
Currently, some 2 percent of the titles rely on government sources for text. None perform a google search, spider the net, etc. Some 98 percent of the titles are wholly generated via automation programs; the applications create original information or content that cannot be found elsewhere (e.g. maximum likelihood trade estimates, latent demand forecasts via a decision calculus approach, Chinese and English crosswords, etc.) - offline applications with no interaction to the internet. In total, there are about 17 genres created this way (about 200,000 titles or so since 2000).
It can take several years to set up an application (including all human inputs, licensed sound effects, textures, models, mocap, data, or decision rules that go into any genre-specific application). Platforms (e.g. Maya) pre-exist. The incremental, or marginal creation time per title is mentioned in the video.
The genres are blind or peer reviewed and/or vetted by users (e.g. librarians or end-users) before they are put into print. The games are played by kids to see what they like. For 3D games, a pre-existing rendering engine is like a blank word document. The rendering engine is not created from scratch, but licensed (like MS Word).
I am mostly now working on education titles for Asian, African, and Native American languages that do not have educational materials (games, supplements, texts, videos, mobile phone books, etc.) written in or augmented by their languages. See my dictionary at:
http://www.websters-online-dictionary.org/credits/editor.html
to see a very small percent of the linguistic material used. Watch for a major update and linguistic augmentation to the dictionary this summer when I will also be introducing EVE. She is an "economically viable entity". A step beyond a chat bot, using some of the algorithms mentioned above (with a bit of utility theory and optimal control theory thrown in).
There is no "commercial" or "public" or "open source" software that can be used by the general public. Some applications are terabytes large. I am working on a relatively small poetry application for public use -- to be released when completed (probably in a year), which will do several forms of poetry, on any topic the user desires; and allow the user to request "another" if they do not like the first one written, or "change that line", etc.
I am not actively working on fiction novels as a priority, though the process is in place for romance novels or similar formulaic types of literature. Fun to do, but not very useful.
There are many other areas I am working on, as there are multiple avenues to explore, especially in the areas of new media (mobile and fixed), but more so in high-end analytics and knowledge discovery (i.e. generating knowledge that could not be created otherwise) as applied to business, language and public services (e.g. criminology) - where unmanageable, sparse, disintegrated or larger data sets (off-line) result in new knowledge structures usable by decision makers (e.g. connecting the dots where humans have difficulty doing so, for lack of time or expertise).
Thanks for watching the video.
Phil

Patent on "Long Tail" for automated content authorship.
FAQ
As the video shows, I am working on reference books, reports and educational titles (not fiction or literature).
The "algorithms" depend on the genre. The most advanced use parametric, non-parametric as well as Bayesian econometrics, graph theory, and meta analysis (mostly coupled with some specialized computational linguistics and editorial rules that are required within certain genres) -- each piece is rather straight forward; the combination allows complexity. In terms of IT or programming languages, there is no rigidity to this - again it depends on the genre. If animation is the goal, then code is written to write MEL scripts, etc., which can automate Maya, which can in turn automate rendering, lights, etc., via macros. This works well, but for only certain aspects of that genre.
For more detailed discussions, here is the patent link:
http://www.google.com/patents?id=bHeBAAAAEBAJ&dq=philip+m+parker
Some titles are 98 to 100 percent computer automated (e.g. business titles, crosswords, etc.). For health titles, only the format editing and production side is automated. The text in the health books was written by medical professionals and edited by a professional editor; the computer expedited formatting using about 50 odd routines (the preface, chapter intros, glossaries, indexes, headings, margins, etc.); highlights are made to sources generally not known to internet-averse readers or medical practitioners (designed for medical libraries with internet training services).
Currently, some 2 percent of the titles rely on government sources for text. None perform a google search, spider the net, etc. Some 98 percent of the titles are wholly generated via automation programs; the applications create original information or content that cannot be found elsewhere (e.g. maximum likelihood trade estimates, latent demand forecasts via a decision calculus approach, Chinese and English crosswords, etc.) - offline applications with no interaction to the internet. In total, there are about 17 genres created this way (about 200,000 titles or so since 2000).
It can take several years to set up an application (including all human inputs, licensed sound effects, textures, models, mocap, data, or decision rules that go into any genre-specific application). Platforms (e.g. Maya) pre-exist. The incremental, or marginal creation time per title is mentioned in the video.
The genres are blind or peer reviewed and/or vetted by users (e.g. librarians or end-users) before they are put into print. The games are played by kids to see what they like. For 3D games, a pre-existing rendering engine is like a blank word document. The rendering engine is not created from scratch, but licensed (like MS Word).
I am mostly now working on education titles for Asian, African, and Native American languages that do not have educational materials (games, supplements, texts, videos, mobile phone books, etc.) written in or augmented by their languages. See my dictionary at:
http://www.websters-online-dictionary.org/credits/editor.html
to see a very small percent of the linguistic material used. Watch for a major update and linguistic augmentation to the dictionary this summer when I will also be introducing EVE. She is an "economically viable entity". A step beyond a chat bot, using some of the algorithms mentioned above (with a bit of utility theory and optimal control theory thrown in).
There is no "commercial" or "public" or "open source" software that can be used by the general public. Some applications are terabytes large. I am working on a relatively small poetry application for public use -- to be released when completed (probably in a year), which will do several forms of poetry, on any topic the user desires; and allow the user to request "another" if they do not like the first one written, or "change that line", etc.
I am not actively working on fiction novels as a priority, though the process is in place for romance novels or similar formulaic types of literature. Fun to do, but not very useful.
There are many other areas I am working on, as there are multiple avenues to explore, especially in the areas of new media (mobile and fixed), but more so in high-end analytics and knowledge discovery (i.e. generating knowledge that could not be created otherwise) as applied to business, language and public services (e.g. criminology) - where unmanageable, sparse, disintegrated or larger data sets (off-line) result in new knowledge structures usable by decision makers (e.g. connecting the dots where humans have difficulty doing so, for lack of time or expertise).
Thanks for watching the video.
Phil

Patent Value Analytics: Algorithms and Applications

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Software Patent Debate

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious ...

SoW Middle Earth Denuvo DRM cracked in under a day
http://www.game-debate.com/news/23879/middle-earth-shadow-of-wars-denuvo-drm-cracked-in-under-a-day
EA Star Wars lootboxes
http://www.christianpost.com/news/star-wars-battlefront-2-slammed-for-loot-boxes-ea-responds-to-criticisms-202796/
EA shuts down Visceral games
https://arstechnica.com/gaming/2017/10/ea-shuts-down-visceral-will-reboot-its-star-wars-game-due-to-marketplace/
Activision has matchmaking patent algorithm designed to make you spend money
https://www.bleedingcool.com/2017/10/17/activision-patented-matchmaking-algorithm-designed-make-spend-money/
Raiden will be banned for the entirety of E-league Injustice 2 world championships
http://shoryuken.com/2017/10/08/raiden-will-be-banned-for-the-entirety-of-the-eleague-injustice-...

published: 18 Oct 2017

Google's Patenting Their Algorithm?

Kirk Johnson discusses how Google is looking to patent their algorithm and how the patents open up discussion on how it works. How are you utilizing SEO for your real estate websites?

published: 25 Jan 2013

Hidden Risks Of Biometric Identifiers And How To Avoid Them

by Thomas Keenan
Technology that identifies you by something you are is showing up in e-passports, laptop login screens, smart firearms and even consumer products, like the iPhone. Current generation systems generally use static biometric features, such as fingerprints, iris scans and facial recognition, either measured directly or mediated through a device, such as a smartphone.
We are on the cusp of a revolution that will usher in dynamic (e.g. gestural, heart rhythm, gait analysis) and chemical (e.g. DNA, body odor, perspiration) biometrics. There will also be hybrid technologies, such as the Nokias vibrating magnetic ink tattoos (US Patent 8, 766, 784) and the password pill from ProteusDigitalHealth. Biometrics will also play an increasingly significant role as one of the factors i...

Patent Portfolio Valuation Fundamentals

Patent portfolio valuation has become a major discipline. Just what is a patent or a patent portfolio worth? What are the principles of sound IP valuation?
IP Valuation plays a crucial role in Mergers and Acquisitions, IPO, (Cross) Licensing, tech transfer, and litigation, to name a few.
In this webinar, Dr. Masoud Vakili, a world-leading figure in patent portfolio valuation who has been involved in patent transactions worth hundreds of millions of dollars, will give a comprehensive account of different patent portfolio valuation methods and their applications.
You can learn more about GHB Intellect here: http://ghbintellect.com/

published: 21 Apr 2017

YOW! 2016 John Lamping - The One Weird Trick for Analyzing Big Data ... Eyeball it Early and Often!

As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, especially when we have terabytes or petabytes of it.
Huge mistake. And we are trained to make it! It is why it takes a year for a new programmer to be productive at working on the Google ranking algorithm. It held back progress on genome sequencing algorithms. It has cost me more time than I’d care to imagine.
The good news is that you don’t have to look at all of your petabytes of data. Just eyeball a ten record sample when you start, and repeat as you work the data. Even then, eyeballing can be hard work, and done wrong can be worse than doing nothing. But done right, it can be fun, and the data will almost always surprise you....

Publication of Application

PyData SF 2016
We will describe our new Patent ManagementTool built using modern Artificial Intelligence (Deep Learning) in Python. The AI generates data-based vocabularies used in ‘similarity’ search - allowing a one-click lookup of semantically related words that would otherwise be missed by the user. Preliminary results show that ‘similarity’ search outperforms the traditional keyword-Boolean patent search.

My Adventures in Automated Crypto Trading

In How Many Ways Can an Algorithm be Fair? - Suchana Seth

Recent research in machine learning has thrown up some interesting measures of algorithmic fairness – the different ways that a predictive algorithm can be fair in its outcome.
In this talk, Suchana Seth will explore what these measures of fairness imply for technology policy and regulation, and where challenges in implementing them lie. The goal is to use these definitions of fairness to hold predictive algorithms accountable.
Suchana Seth
Suchana is a physicist-turned-data scientist from India, and the Mozilla Open Web Fellow at Data & SocietyResearch Institute. She has built scalable data science solutions for startups and industry research labs, and holds patents in text mining and natural language processing. Suchana believes in the power of data to drive positive change; she ...

published: 19 Apr 2017

Difficult Airway Management The Algorithm

published: 17 Feb 2012

The PC Gamer Show - Visceral Games shuts down, Activision's troubling patent, Orc bullies, and more

Welcome back to The PC GamerShow, our weekly livestreamed podcast. You can catch the show live on Wednesdays at 1 pm PDT on our Twitch channel, or after the fact at any of the links below.
This week we talk about our time with XCOM 2: War of the Chosen, our impressions of Destiny 2 so far, the DMCA confusion surrounding PewDiePie and Campo Santo—all before closing with our usual Twitch chat Q&A!
00:02:20 - Now playing
00:23:30 - Mozû bullies Tim in Shadow of War
00:37:58 - Visceral Games is done for
00:57:40 - Activision lands a troubling patent
01:09:00 - Twitch chat Q&A
Watch it live here: http://www.twitch.tv/pcgamer
Listen to it here: http://apple.co/1U0zWOo
Find the MP3/RSS feed here: http://bit.ly/2gLxGDo

published: 19 Oct 2017

Patent Absurdity - How software patents broke the system

"Patent Absurdity explores the case of software patents and the history of judicial activism that led to their rise, and the harm being done to software developers and the wider economy. The film is based on a series of interviews conducted during the Supreme Court's review of in re Bilski — a case that could have profound implications for the patenting of software."
Unfortunately (from the first EFF link bellow): "the Supreme Court's ruling eroded the CAFC's limits on process patents and thus missed an opportunity to fix some of the problems with those patents."
http://patentabsurdity.com/resources.html
https://www.eff.org/cases/re-bilski
https://www.eff.org/deeplinks/2012/02/why-patent-system-doesnt-play
http://www.groklaw.net/

Patent Value Analytics: Algorithms and Applications

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio mana...

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on softwar...

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious to a programmer of ordinary skill and thus do not deserve patent protection.
FOR THE MOTION
Bob Zeidman is the president and founder of Zeidman Consulting, a premiere contract research and development firm in Silicon Valley that focuses on engineering consulting to law firms about intellectual property disputes. Clients have included Apple Computer, Cisco Systems, Cadence Design Systems, Facebook, Intel, Symantec, Texas Instruments, and Zynga. Bob is also the president and founder of Software Analysis and Forensic EngineeringCorporation, the leading provider of software intellectual property analysis tools. Bob has worked on and testified in nearly 100 cases involving billions of dollars in disputed intellectual property.
Bob is a prolific writer and instructor, giving seminars at conferences around the world. Among his publications are numerous articles on engineering and business as well as four textbooks, two novels, and three screenplays. Bob holds numerous patents and earned two bachelor's degrees, in physics and electrical engineering, from Cornell University and a master's degree in electrical engineering from Stanford University.
AGAINST THE MOTION
Edward A. Lee has been on the faculty in the Electrical Engineering
and Computer Sciences (EECS) department at U.C. Berkeley for more than 25 years. He has served as chair of the department and currently holds the Robert S. PepperDistinguished Professorship. He has been a proponent of open source software and has headed the design and development of an open source design environment known as Ptolemy. He is a co-founder of BDTI, Inc., a technical analysis and advising company, where he is currently a Senior Technical Ad visor, has consulted for a number of other companies, and has served as an expert witness and/or advisor in software patent litigation cases. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is a director of Chess, the BerkeleyCenter for Hybrid and Embedded SoftwareSystems. He has published extensively, including six books and hundreds of research papers. Prior to Berkeley, Prof. Lee was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. His Bachelors degree (B.S.) is from Yale University (1979), his masters (S.M.) from MIT (1981), and his Ph.D. from U. C. Berkeley (1986). He is a Fellow of the IEEE, was an NSFPresidential Young Investigator, and won the 1997Frederick Emmons Terman Award for EngineeringEducation.
MODERATOR
John C. Hollar, President and Chief Executive Officer, Computer History Museum. He has served as CEO since 2008, and holds bachelor's degrees in political science and journalism (BFA), and in law (JD) from Harvard Law School.

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious to a programmer of ordinary skill and thus do not deserve patent protection.
FOR THE MOTION
Bob Zeidman is the president and founder of Zeidman Consulting, a premiere contract research and development firm in Silicon Valley that focuses on engineering consulting to law firms about intellectual property disputes. Clients have included Apple Computer, Cisco Systems, Cadence Design Systems, Facebook, Intel, Symantec, Texas Instruments, and Zynga. Bob is also the president and founder of Software Analysis and Forensic EngineeringCorporation, the leading provider of software intellectual property analysis tools. Bob has worked on and testified in nearly 100 cases involving billions of dollars in disputed intellectual property.
Bob is a prolific writer and instructor, giving seminars at conferences around the world. Among his publications are numerous articles on engineering and business as well as four textbooks, two novels, and three screenplays. Bob holds numerous patents and earned two bachelor's degrees, in physics and electrical engineering, from Cornell University and a master's degree in electrical engineering from Stanford University.
AGAINST THE MOTION
Edward A. Lee has been on the faculty in the Electrical Engineering
and Computer Sciences (EECS) department at U.C. Berkeley for more than 25 years. He has served as chair of the department and currently holds the Robert S. PepperDistinguished Professorship. He has been a proponent of open source software and has headed the design and development of an open source design environment known as Ptolemy. He is a co-founder of BDTI, Inc., a technical analysis and advising company, where he is currently a Senior Technical Ad visor, has consulted for a number of other companies, and has served as an expert witness and/or advisor in software patent litigation cases. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is a director of Chess, the BerkeleyCenter for Hybrid and Embedded SoftwareSystems. He has published extensively, including six books and hundreds of research papers. Prior to Berkeley, Prof. Lee was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. His Bachelors degree (B.S.) is from Yale University (1979), his masters (S.M.) from MIT (1981), and his Ph.D. from U. C. Berkeley (1986). He is a Fellow of the IEEE, was an NSFPresidential Young Investigator, and won the 1997Frederick Emmons Terman Award for EngineeringEducation.
MODERATOR
John C. Hollar, President and Chief Executive Officer, Computer History Museum. He has served as CEO since 2008, and holds bachelor's degrees in political science and journalism (BFA), and in law (JD) from Harvard Law School.

Hidden Risks Of Biometric Identifiers And How To Avoid Them

by Thomas Keenan
Technology that identifies you by something you are is showing up in e-passports, laptop login screens, smart firearms and even consumer produ...

by Thomas Keenan
Technology that identifies you by something you are is showing up in e-passports, laptop login screens, smart firearms and even consumer products, like the iPhone. Current generation systems generally use static biometric features, such as fingerprints, iris scans and facial recognition, either measured directly or mediated through a device, such as a smartphone.
We are on the cusp of a revolution that will usher in dynamic (e.g. gestural, heart rhythm, gait analysis) and chemical (e.g. DNA, body odor, perspiration) biometrics. There will also be hybrid technologies, such as the Nokias vibrating magnetic ink tattoos (US Patent 8, 766, 784) and the password pill from ProteusDigitalHealth. Biometrics will also play an increasingly significant role as one of the factors in multi-factor authentication. The author created one of the first typing rhythm recognition algorithms and one of the earliest DNA sequencing machines in the 1980s and has a long term perspective on this subject.
Like all new technologies, advances in biometrics will bring new advantages and also new risks. This presentation surveys cutting edge biometric technologies and provides a framework for evaluating them from the perspectives of security, reliability, privacy, potential for abuse and perceived creepiness. Learn what is coming down the biometrics road now, so you'll be ready to intelligently choose and implement these technologies as they come on the market in the near future.

by Thomas Keenan
Technology that identifies you by something you are is showing up in e-passports, laptop login screens, smart firearms and even consumer products, like the iPhone. Current generation systems generally use static biometric features, such as fingerprints, iris scans and facial recognition, either measured directly or mediated through a device, such as a smartphone.
We are on the cusp of a revolution that will usher in dynamic (e.g. gestural, heart rhythm, gait analysis) and chemical (e.g. DNA, body odor, perspiration) biometrics. There will also be hybrid technologies, such as the Nokias vibrating magnetic ink tattoos (US Patent 8, 766, 784) and the password pill from ProteusDigitalHealth. Biometrics will also play an increasingly significant role as one of the factors in multi-factor authentication. The author created one of the first typing rhythm recognition algorithms and one of the earliest DNA sequencing machines in the 1980s and has a long term perspective on this subject.
Like all new technologies, advances in biometrics will bring new advantages and also new risks. This presentation surveys cutting edge biometric technologies and provides a framework for evaluating them from the perspectives of security, reliability, privacy, potential for abuse and perceived creepiness. Learn what is coming down the biometrics road now, so you'll be ready to intelligently choose and implement these technologies as they come on the market in the near future.

Patent Portfolio Valuation Fundamentals

Patent portfolio valuation has become a major discipline. Just what is a patent or a patent portfolio worth? What are the principles of sound IP valuation?
IP ...

Patent portfolio valuation has become a major discipline. Just what is a patent or a patent portfolio worth? What are the principles of sound IP valuation?
IP Valuation plays a crucial role in Mergers and Acquisitions, IPO, (Cross) Licensing, tech transfer, and litigation, to name a few.
In this webinar, Dr. Masoud Vakili, a world-leading figure in patent portfolio valuation who has been involved in patent transactions worth hundreds of millions of dollars, will give a comprehensive account of different patent portfolio valuation methods and their applications.
You can learn more about GHB Intellect here: http://ghbintellect.com/

Patent portfolio valuation has become a major discipline. Just what is a patent or a patent portfolio worth? What are the principles of sound IP valuation?
IP Valuation plays a crucial role in Mergers and Acquisitions, IPO, (Cross) Licensing, tech transfer, and litigation, to name a few.
In this webinar, Dr. Masoud Vakili, a world-leading figure in patent portfolio valuation who has been involved in patent transactions worth hundreds of millions of dollars, will give a comprehensive account of different patent portfolio valuation methods and their applications.
You can learn more about GHB Intellect here: http://ghbintellect.com/

published:21 Apr 2017

views:126

back

YOW! 2016 John Lamping - The One Weird Trick for Analyzing Big Data ... Eyeball it Early and Often!

As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, ...

As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, especially when we have terabytes or petabytes of it.
Huge mistake. And we are trained to make it! It is why it takes a year for a new programmer to be productive at working on the Google ranking algorithm. It held back progress on genome sequencing algorithms. It has cost me more time than I’d care to imagine.
The good news is that you don’t have to look at all of your petabytes of data. Just eyeball a ten record sample when you start, and repeat as you work the data. Even then, eyeballing can be hard work, and done wrong can be worse than doing nothing. But done right, it can be fun, and the data will almost always surprise you. Better yet, you can use your favorite algorithms and architectures to build tools to make eyeballing your data easier and much more effective.
John Lamping has had difficulty focusing his career. He worked on network drivers before getting a PhD in computer science from Stanford University.
He was a principal scientist at Xerox PARC, where he worked in various fields, including Aspect Oriented Programming, visualization, optimal lambda calculus evaluation, and natural language semantics.
He was a senior staff engineer at Google, where he worked on the core ranking function, notably leading the project that automatically learns synonyms from search logs. It probably helped get the results for the last query you did on Google.
He is an inventor on about 50 patents.
For more on YOW! Conference, visit http://www.yowconference.com.au

As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, especially when we have terabytes or petabytes of it.
Huge mistake. And we are trained to make it! It is why it takes a year for a new programmer to be productive at working on the Google ranking algorithm. It held back progress on genome sequencing algorithms. It has cost me more time than I’d care to imagine.
The good news is that you don’t have to look at all of your petabytes of data. Just eyeball a ten record sample when you start, and repeat as you work the data. Even then, eyeballing can be hard work, and done wrong can be worse than doing nothing. But done right, it can be fun, and the data will almost always surprise you. Better yet, you can use your favorite algorithms and architectures to build tools to make eyeballing your data easier and much more effective.
John Lamping has had difficulty focusing his career. He worked on network drivers before getting a PhD in computer science from Stanford University.
He was a principal scientist at Xerox PARC, where he worked in various fields, including Aspect Oriented Programming, visualization, optimal lambda calculus evaluation, and natural language semantics.
He was a senior staff engineer at Google, where he worked on the core ranking function, notably leading the project that automatically learns synonyms from search logs. It probably helped get the results for the last query you did on Google.
He is an inventor on about 50 patents.
For more on YOW! Conference, visit http://www.yowconference.com.au

PyData SF 2016
We will describe our new Patent ManagementTool built using modern Artificial Intelligence (Deep Learning) in Python. The AI generates data-based vocabularies used in ‘similarity’ search - allowing a one-click lookup of semantically related words that would otherwise be missed by the user. Preliminary results show that ‘similarity’ search outperforms the traditional keyword-Boolean patent search.

PyData SF 2016
We will describe our new Patent ManagementTool built using modern Artificial Intelligence (Deep Learning) in Python. The AI generates data-based vocabularies used in ‘similarity’ search - allowing a one-click lookup of semantically related words that would otherwise be missed by the user. Preliminary results show that ‘similarity’ search outperforms the traditional keyword-Boolean patent search.

In How Many Ways Can an Algorithm be Fair? - Suchana Seth

Recent research in machine learning has thrown up some interesting measures of algorithmic fairness – the different ways that a predictive algorithm can be fair...

Recent research in machine learning has thrown up some interesting measures of algorithmic fairness – the different ways that a predictive algorithm can be fair in its outcome.
In this talk, Suchana Seth will explore what these measures of fairness imply for technology policy and regulation, and where challenges in implementing them lie. The goal is to use these definitions of fairness to hold predictive algorithms accountable.
Suchana Seth
Suchana is a physicist-turned-data scientist from India, and the Mozilla Open Web Fellow at Data & SocietyResearch Institute. She has built scalable data science solutions for startups and industry research labs, and holds patents in text mining and natural language processing. Suchana believes in the power of data to drive positive change; she volunteers with DataKind, mentors data-for-good projects, and advises research on IoT ethics. She is also passionate about closing the gender gap in data science, and leads data science workshops with organizations like Women Who Code. At Data & Society, Suchana is studying ways to operationalize ethical machine learning and AI in the industry. Her interests include fairness, accountability and transparency in machine learning, monetizing AI ethically, security vulnerabilities specific to machine learning and AI systems, and the regulatory landscape for predictive algorithms.

Recent research in machine learning has thrown up some interesting measures of algorithmic fairness – the different ways that a predictive algorithm can be fair in its outcome.
In this talk, Suchana Seth will explore what these measures of fairness imply for technology policy and regulation, and where challenges in implementing them lie. The goal is to use these definitions of fairness to hold predictive algorithms accountable.
Suchana Seth
Suchana is a physicist-turned-data scientist from India, and the Mozilla Open Web Fellow at Data & SocietyResearch Institute. She has built scalable data science solutions for startups and industry research labs, and holds patents in text mining and natural language processing. Suchana believes in the power of data to drive positive change; she volunteers with DataKind, mentors data-for-good projects, and advises research on IoT ethics. She is also passionate about closing the gender gap in data science, and leads data science workshops with organizations like Women Who Code. At Data & Society, Suchana is studying ways to operationalize ethical machine learning and AI in the industry. Her interests include fairness, accountability and transparency in machine learning, monetizing AI ethically, security vulnerabilities specific to machine learning and AI systems, and the regulatory landscape for predictive algorithms.

The PC Gamer Show - Visceral Games shuts down, Activision's troubling patent, Orc bullies, and more

Welcome back to The PC GamerShow, our weekly livestreamed podcast. You can catch the show live on Wednesdays at 1 pm PDT on our Twitch channel, or after the fa...

Welcome back to The PC GamerShow, our weekly livestreamed podcast. You can catch the show live on Wednesdays at 1 pm PDT on our Twitch channel, or after the fact at any of the links below.
This week we talk about our time with XCOM 2: War of the Chosen, our impressions of Destiny 2 so far, the DMCA confusion surrounding PewDiePie and Campo Santo—all before closing with our usual Twitch chat Q&A!
00:02:20 - Now playing
00:23:30 - Mozû bullies Tim in Shadow of War
00:37:58 - Visceral Games is done for
00:57:40 - Activision lands a troubling patent
01:09:00 - Twitch chat Q&A
Watch it live here: http://www.twitch.tv/pcgamer
Listen to it here: http://apple.co/1U0zWOo
Find the MP3/RSS feed here: http://bit.ly/2gLxGDo

Welcome back to The PC GamerShow, our weekly livestreamed podcast. You can catch the show live on Wednesdays at 1 pm PDT on our Twitch channel, or after the fact at any of the links below.
This week we talk about our time with XCOM 2: War of the Chosen, our impressions of Destiny 2 so far, the DMCA confusion surrounding PewDiePie and Campo Santo—all before closing with our usual Twitch chat Q&A!
00:02:20 - Now playing
00:23:30 - Mozû bullies Tim in Shadow of War
00:37:58 - Visceral Games is done for
00:57:40 - Activision lands a troubling patent
01:09:00 - Twitch chat Q&A
Watch it live here: http://www.twitch.tv/pcgamer
Listen to it here: http://apple.co/1U0zWOo
Find the MP3/RSS feed here: http://bit.ly/2gLxGDo

Patent Absurdity - How software patents broke the system

"Patent Absurdity explores the case of software patents and the history of judicial activism that led to their rise, and the harm being done to software develop...

"Patent Absurdity explores the case of software patents and the history of judicial activism that led to their rise, and the harm being done to software developers and the wider economy. The film is based on a series of interviews conducted during the Supreme Court's review of in re Bilski — a case that could have profound implications for the patenting of software."
Unfortunately (from the first EFF link bellow): "the Supreme Court's ruling eroded the CAFC's limits on process patents and thus missed an opportunity to fix some of the problems with those patents."
http://patentabsurdity.com/resources.html
https://www.eff.org/cases/re-bilski
https://www.eff.org/deeplinks/2012/02/why-patent-system-doesnt-play
http://www.groklaw.net/

"Patent Absurdity explores the case of software patents and the history of judicial activism that led to their rise, and the harm being done to software developers and the wider economy. The film is based on a series of interviews conducted during the Supreme Court's review of in re Bilski — a case that could have profound implications for the patenting of software."
Unfortunately (from the first EFF link bellow): "the Supreme Court's ruling eroded the CAFC's limits on process patents and thus missed an opportunity to fix some of the problems with those patents."
http://patentabsurdity.com/resources.html
https://www.eff.org/cases/re-bilski
https://www.eff.org/deeplinks/2012/02/why-patent-system-doesnt-play
http://www.groklaw.net/

Patent Value Analytics: Algorithms and Applications

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

17:13

EA Patents A New Matchmaking Algorithm Designed to Make You Spend More

uploaded a 2nd time due to copyrights over a song no one knows or cares about...
→MY Links...

Patented DETi Algorithm

Progress Corticon offers a patented DeTI (DesignTime) rules algorithm that enables users to scale linearly–regardless of the number or complexity of rules. Watch this video to learn how DeTi increases rule agility.
Learn more about Corticon here now: https://www.progress.com/corticon

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Cloem applies NaturalLangage Processing to patents ("Algorithmic patenting"). You have a great idea ? You are an inventor ? Write down your innovation in a short paragraph, between five to fifteen lines is enough. From your initial text, Cloem creates, then timestamps and optionally publishes a fantastic number of variants called cloems(tm). For example, if you first described an "electric car", Cloem creates variants such as "hybrid car" or maybe you meant "solar car" or even an "electric bus". As a result, your initial text is clarified, paraphrased, developed, stretched, expanded, reduced in thousands of directions. How do we create variations of your text ? We use sophisticated mathematics to get a unique model in which we combine the use of specialized parsers to handle patent documents and of proprietary dictionaries resulting from the analysis of 70 000 000 million of patents, the entirety of articles taken from wikipedia and scientific articles. For example we add, delete, replace or insert words, or groups of words, in your initial text, continuously controlling the grammar. We use combinations of definitions, synonyms, hyponyms (more specific), hyperonyms (more generic) and even antonyms. Why be satisfied with just one idea when you can get thousands more ? With Cloem, your idea is amplified by the knowledge that we extracted from a corpus of millions of patents. Cloem is a complement to your patent application if you have one. With Cloem you can improve the quality of your patent application (e.g. verifying intermediate generalizations or antecedences in your patent claims, etc), you can also secure your patent filing and get rid of adverse improvement patents (e.g. by publishing our texts 18 months
after filing). Using Cloem without a patent, you get next-generation defensive publishing at the fraction of the cost of a patent filing. There are many other uses cases. With Cloem, you can invent more, better and faster ! Start now: http://www.cloem.com
CREDITS: Film editor: WENJING SHI // Images : GabrielMolina / Mathematics - Kate Hiscock C / Book - Ralph hogaboom / Arrow - Eric wustenhagen / Color grid // Videos: Pavel L Photo and Video / Shutterstock - Gonin / Shutterstock (Cloem does not recommend Shutterstock). // All other rights reserved. Copyright2015.

The Incredibly Complex Algorithm Slicing Your Fish Sticks

June 20 -- Cutting fish is a tough job... for humans. In this installment of Hello World, Bloomberg's Ashlee Vance visits a factory in Iceland to learn how "The Flexicut" is changing the fish slicing game forever.
Watch the full episode of 'Hello World: Iceland': https://www.youtube.com/watch?v=n8ZRTJQAcjU
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Patent Analytics using Machine Learning

Dolcera PCS is AI-Powered Patent Searching & Analytics Engine. Experience the power of machine learning + scientific literature understanding + assignee name normalization for your patent analytics needs like patent landscapes, portfolio analysis, portfolio benchmarking, clearances etc. Know how you can accelerate your learning on topics you didn't know yesterday. Sign up for a free 30 day trial. After all, you can't be wrong in your decision here especially when companies like Qualcomm, L'Oreal, Microsoft and the like are using Dolcera PCS.

4:41

Patenting Software-related Inventions

Many software developers and technology companies feel that patents are an essential tool ...

Patenting Software-related Inventions

Many software developers and technology companies feel that patents are an essential tool to protect investment in research and development. However, the law in Europe and the UK relating to the protection of computer-implemented inventions excludes certain subject matter from patentability on the grounds that it's not an "invention". Software per se is one such excluded category.
In this video, Dr JonathanMarkham from Beck Greener explains the background law. He then outlines the kinds of software-related inventions that can be patented and advises on how best to frame such an invention to meet the requirements of the UK and European patent offices.
Topics covered:
-- Benefits of patenting software-based inventions
-- Misconceptions about patenting software-based inventions
-- The Aerotel test / contribution approach
-- How the EPO's approach differs
-- How to identify whether an invention is patentable
-- Tips for protecting computer-implemented inventions
Cases referenced:
-- Aerotel Ltd v Telco Holdings Ltd
-- HTC Europe Co Ltd v Apple Inc
-- AT&T Knowledge Ventures LP v Comptroller General of Patents Designs and Trade Marks
-- VICOM/Computer-related invention (T208/84)
-- Lantana Ltd v Comptroller-General of Patents, Designs and Trade Marks
-- Halliburton Energy ServicesInc's Patent Applications
-- ToshibaResearch Ltd BL/O/453/14
-- Menashe Business Mercantile Ltd v William HillOrganisation Ltd
You can watch the full-length CPD-accredited version of this video here: http://legalpd.com/details?semid=484

Google patented Project Loon

Please watch: "Disney's DroneTechnology | Episode 1 | PatentYogi Research"
https://www.youtube.com/watch?v=Jm06Vc43yGE
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Project Loon from Google is a global network of high-altitude balloons to connect people in rural and remote areas who have no Internet access at all. The balloons provide LTE connectivity, which literally makes them floating cell towers in the sky.
The balloons in the balloon network communicate with one another via optical communications using LEDs and Lasers. They can also communicate via radio frequency links with ground stations. The communication helps them coordinate for efficient operation. The balloons travel approximately 20 km above the Earth’s surface in the stratosphere. Winds in the stratosphere are stratified, and each layer of wind varies in speed and direction.
By moving with the wind, the balloons can be arranged to form large communications network. Software algorithms determine where the balloons need to go, then altitude of the balloons is varied to move each one into a layer of wind blowing in the right direction.
Patented Methods - The patent shows various ways Google plans to control altitudes of the balloons.
First patented method - To decrease the altitude, gas in the envelope is pumped out into a high-pressure storage chamber. The gas is moved into the envelope to increase the altitude.
Second patented method - Balloon runs a fuel cell in reverse to generate hydrogen gas, which is moved into the envelope to increase buoyancy and altitude. The hydrogen is pumped back to produce power via the chemical reaction of hydrogen and oxygen to produce water.
Third patented method - A portion of the envelope is painted black. To increase altitude, rotating the balloon is rotated such that black portion faces the sun, black absorbs heat which warms up the gas inside the envelope.
Google expects Project loon to rake in $10 billion dollars every year. The company aims to tap the market of 4.5 billion people who have no access to internet.
Patent Information:
US 8,967,533
Title - Balloon power sources with a buoyancy trade-off
AbstractExample embodiments may facilitate altitude control by a balloon in a balloon network. An example method involves: (a) causing a balloon to operate in a first mode, wherein the balloon comprises an envelope, a high-pressure storage chamber, and a solar power system, (b) while the balloon is operating in the first mode: (i) operating the solar power system to generate power for the balloon and (ii) using at least some of the power generated by the solar power system to move gas from the envelope to the high-pressure storage chamber such that the buoyancy of the balloon decreases; (c) causing the balloon to operate in a second mode; and while the balloon is operating in the second mode, moving gas from the high-pressure storage chamber to the envelope such that the buoyancy of the balloon increases.
Inventors: DeVaul; Richard Wayne, Teller; Eric, Biffle; Clifford L. , Weaver; Joshua

5:24

Lecture 7: The Debate Over Software Patents

At the end of this video, you will be able to:
- Identify the characteristics of a patenta...

Lecture 7: The Debate Over Software Patents

At the end of this video, you will be able to:
- Identify the characteristics of a patentable invention.
- Understand what is not patentable and why.
- Identify the criteria that an invention must meet to earn a patent.
- Understand why non-obviousness is the most difficult hurdle to overcome.
--------------------------------
Take the full course on Udemy.com: http://buff.ly/2mJVjNS
Michelson20mm.org
Michelsonip.com
*Intellectual Property: Inventors, Entrepreneurs, Creators*
A FREE Intellectual Property online course by The Michelson 20MM Foundation & IPOEducation Foundation. Take the course on Udemy to develop a working knowledge of the basics of patents, copyrights, trademarks, and trade secrets.
Brought to you by The Michelson 20MM Foundation & IPO Education Foundation, made possible by the generous support of Alya and Gary Michelson, M.D.
--------------------------------
If you have questions or comments please email us at info@20mm.org

Patent Value Analytics: Algorithms and Applications

In this webinar, our panel discusses various practices for valuing patent assets. Such analyses are used in M&A situations, annuity decisions and portfolio management process, licensing, and other scenarios. Learn how consistent & reliable analytics can help decision makers come to better conclusions in less time.
The panelists for this discussion include Mark Stignani, SeniorAttorney at Schwegman and former AssistantGeneral Counsel at Thomson Reuters; and Jaci Sprtel, Patent Analytics Specialists of Black Hills IP and former IP Counsel for Thomson Reuters.

Part 2 of the last class of the semester in Data Mining. The topic was custom built algorithms in data mining with a discussion of rules for patents on software, and an example using hyperspectral imaging.

Software Patent Debate

[Recorded: August 24, 2011]
THE MOTION: SOFTWARE PATENTS ENCOURAGE INNOVATION
Proponents of software patents argue that software deserves the protection of patents just as any other invention does. Software is simply a description of computer instructions that allow a processor to perform complex tasks. Particularly in today's knowledge economy, the value of software is growing and patents protect the investment of time, effort, and money made by companies and individual programmers.
Critics of software patents argue that they stifle innovation rather than promote it by cutting off the free flow of ideas needed to advance technology. Software consists of mathematical equations, which cannot and should not be patentable. Most software patents describe algorithms that are simple or obvious to a programmer of ordinary skill and thus do not deserve patent protection.
FOR THE MOTION
Bob Zeidman is the president and founder of Zeidman Consulting, a premiere contract research and development firm in Silicon Valley that focuses on engineering consulting to law firms about intellectual property disputes. Clients have included Apple Computer, Cisco Systems, Cadence Design Systems, Facebook, Intel, Symantec, Texas Instruments, and Zynga. Bob is also the president and founder of Software Analysis and Forensic EngineeringCorporation, the leading provider of software intellectual property analysis tools. Bob has worked on and testified in nearly 100 cases involving billions of dollars in disputed intellectual property.
Bob is a prolific writer and instructor, giving seminars at conferences around the world. Among his publications are numerous articles on engineering and business as well as four textbooks, two novels, and three screenplays. Bob holds numerous patents and earned two bachelor's degrees, in physics and electrical engineering, from Cornell University and a master's degree in electrical engineering from Stanford University.
AGAINST THE MOTION
Edward A. Lee has been on the faculty in the Electrical Engineering
and Computer Sciences (EECS) department at U.C. Berkeley for more than 25 years. He has served as chair of the department and currently holds the Robert S. PepperDistinguished Professorship. He has been a proponent of open source software and has headed the design and development of an open source design environment known as Ptolemy. He is a co-founder of BDTI, Inc., a technical analysis and advising company, where he is currently a Senior Technical Ad visor, has consulted for a number of other companies, and has served as an expert witness and/or advisor in software patent litigation cases. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is a director of Chess, the BerkeleyCenter for Hybrid and Embedded SoftwareSystems. He has published extensively, including six books and hundreds of research papers. Prior to Berkeley, Prof. Lee was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. His Bachelors degree (B.S.) is from Yale University (1979), his masters (S.M.) from MIT (1981), and his Ph.D. from U. C. Berkeley (1986). He is a Fellow of the IEEE, was an NSFPresidential Young Investigator, and won the 1997Frederick Emmons Terman Award for EngineeringEducation.
MODERATOR
John C. Hollar, President and Chief Executive Officer, Computer History Museum. He has served as CEO since 2008, and holds bachelor's degrees in political science and journalism (BFA), and in law (JD) from Harvard Law School.

Hidden Risks Of Biometric Identifiers And How To Avoid Them

by Thomas Keenan
Technology that identifies you by something you are is showing up in e-passports, laptop login screens, smart firearms and even consumer products, like the iPhone. Current generation systems generally use static biometric features, such as fingerprints, iris scans and facial recognition, either measured directly or mediated through a device, such as a smartphone.
We are on the cusp of a revolution that will usher in dynamic (e.g. gestural, heart rhythm, gait analysis) and chemical (e.g. DNA, body odor, perspiration) biometrics. There will also be hybrid technologies, such as the Nokias vibrating magnetic ink tattoos (US Patent 8, 766, 784) and the password pill from ProteusDigitalHealth. Biometrics will also play an increasingly significant role as one of the factors in multi-factor authentication. The author created one of the first typing rhythm recognition algorithms and one of the earliest DNA sequencing machines in the 1980s and has a long term perspective on this subject.
Like all new technologies, advances in biometrics will bring new advantages and also new risks. This presentation surveys cutting edge biometric technologies and provides a framework for evaluating them from the perspectives of security, reliability, privacy, potential for abuse and perceived creepiness. Learn what is coming down the biometrics road now, so you'll be ready to intelligently choose and implement these technologies as they come on the market in the near future.

Patent Portfolio Valuation Fundamentals

Patent portfolio valuation has become a major discipline. Just what is a patent or a patent portfolio worth? What are the principles of sound IP valuation?
IP Valuation plays a crucial role in Mergers and Acquisitions, IPO, (Cross) Licensing, tech transfer, and litigation, to name a few.
In this webinar, Dr. Masoud Vakili, a world-leading figure in patent portfolio valuation who has been involved in patent transactions worth hundreds of millions of dollars, will give a comprehensive account of different patent portfolio valuation methods and their applications.
You can learn more about GHB Intellect here: http://ghbintellect.com/

33:24

YOW! 2016 John Lamping - The One Weird Trick for Analyzing Big Data ... Eyeball it Early and Often!

As programmers, we tend to treat data as generic stuff to feed into the algorithms and arc...

YOW! 2016 John Lamping - The One Weird Trick for Analyzing Big Data ... Eyeball it Early and Often!

As programmers, we tend to treat data as generic stuff to feed into the algorithms and architectures we love. We don’t really pay attention to the data itself, especially when we have terabytes or petabytes of it.
Huge mistake. And we are trained to make it! It is why it takes a year for a new programmer to be productive at working on the Google ranking algorithm. It held back progress on genome sequencing algorithms. It has cost me more time than I’d care to imagine.
The good news is that you don’t have to look at all of your petabytes of data. Just eyeball a ten record sample when you start, and repeat as you work the data. Even then, eyeballing can be hard work, and done wrong can be worse than doing nothing. But done right, it can be fun, and the data will almost always surprise you. Better yet, you can use your favorite algorithms and architectures to build tools to make eyeballing your data easier and much more effective.
John Lamping has had difficulty focusing his career. He worked on network drivers before getting a PhD in computer science from Stanford University.
He was a principal scientist at Xerox PARC, where he worked in various fields, including Aspect Oriented Programming, visualization, optimal lambda calculus evaluation, and natural language semantics.
He was a senior staff engineer at Google, where he worked on the core ranking function, notably leading the project that automatically learns synonyms from search logs. It probably helped get the results for the last query you did on Google.
He is an inventor on about 50 patents.
For more on YOW! Conference, visit http://www.yowconference.com.au

PyData SF 2016
We will describe our new Patent ManagementTool built using modern Artificial Intelligence (Deep Learning) in Python. The AI generates data-based vocabularies used in ‘similarity’ search - allowing a one-click lookup of semantically related words that would otherwise be missed by the user. Preliminary results show that ‘similarity’ search outperforms the traditional keyword-Boolean patent search.

Patent Value Analytics: Algorithms and Application...

Custom Machine Learning / Data Mining Algorithms, ...

Intentional concealment of patented FRAUD - Ken Do...

Software Patent Debate...

Unprofessional Games Media, EA Shutdowns, Activisi...

Google's Patenting Their Algorithm?...

Hidden Risks Of Biometric Identifiers And How To A...

Module 11: IP Valuation...

Lec 1 | MIT 6.912 Introduction to Copyright Law...

Patent Portfolio Valuation Fundamentals...

YOW! 2016 John Lamping - The One Weird Trick for A...

The Adaptive Immune System as a Learning Algorithm...

Publication of Application...

Sumeet Sandhu & Tami Lee | Similarity Search in Pa...

Patent Monetization & Enforcement Tales from the ...

My Adventures in Automated Crypto Trading...

In How Many Ways Can an Algorithm be Fair? - Sucha...

Difficult Airway Management The Algorithm...

The PC Gamer Show - Visceral Games shuts down, Act...

Patent Absurdity - How software patents broke the ...

Gizmodo reported on Wednesday that a former Google engineer is suing the company for discrimination, harassment, retaliation, and wrongful termination ...Chevalier's posts had been quoting in Damore's lawsuit against Google, who is also suing the company for alleged discrimination against conservative white men ... “Firing the employee who pushed back against the bullies was exactly the wrong step to take.” ... But the effect is the same....

OSLO. Sea levels will rise between 0.7 and 1.2 metres in the next two centuries even if governments end the fossil fuel era as promised under the Paris climate agreement, scientists said on Tuesday ...Ocean levels will rise inexorably because heat-trapping industrial gases already em­­itted will linger in the atmosphere, melting more ice, it said. In addition, water naturally expands as it warms above four degrees Celsius (39.2F) ... ....

The woman tasked with caring for accused Florida shooter Nikolas Cruz and his brother have moved quickly to file court papers seeking control of their inheritance the day after the massacre at Majory Stoneman Douglas High School, Newsweek reported. When the mother of Nikolas and Zachary Cruz died from flu-related pneumonia last November, their lives were entrusted to Roxanne Deschamps, the report said....

Special CounselRobert Mueller's probe is prepared to accept a guilty plea from the London-based son-in-law of a Russian businessman after he made false statements during the investigation into alleged Russian interference in the 2016 U.S. presidential election, according to the Washington Post... Tymoshenko was later imprisoned by former president Viktor Yanukovych after signing a controversial deal with Russia for natural gas ... U.S ... U.S....

Article by WN.Com Correspondent Dallas DarlingTo this day it’s something my aunt hardly mentions, let alone discusses. And like a few other families living in the United States, it’s taboo and completely off limits ... Neither was it as widespread, since Japan had nearly conquered most of East Asia including parts of China. But still, U.S ... authorities continued the comfort station system absent formal slavery ... The U.S ... military authorities ... ....

search tools

You can search using any combination of the items listed below.

We ended 2017 with over 330 patent risk management network members and insurance clients ... We syndicated almost $75 million from clients to clear patent risk during the year, one of the highest amounts of syndication in our history ... That said, the environment for patent licensing, as we've discussed on these calls over the years, ebbs and flows ... NPEpatent litigation is at a lower level, but it has not disappeared....

The company recently won patents for wristbands that could be used as part of an inventory system, communicating with equipment in warehouses and nudging employees via vibrations if, for example, they were about to place items in the wrong bins ...Amazon waited almost two years for the patents to be approved, and it’s unclear if it ever plans on deploying the technology in its warehouses....

The falsehoods about Parkland students come even after the technology giants have tried to tamp down on disinformation campaigns by hiring thousands of moderators, changing the algorithms that surface information and enacting stricter policies ... In October, YouTube said it would change its algorithm to elevate authoritative news sources after hoaxes quickly dominated the site after the Las Vegas shooting....

As for the conspiracy videos that were showing up in YouTube search results, a company spokeswoman sent a followup statement that said changes to the site's search algorithm designed to promote news from authoritative sources doesn't always work ... YouTube has said it changed its search algorithms in hopes of promoting news videos from only "trusted" sources....

Modern-day security systems are protected with a standard encryption algorithm called RSA, which works by finding prime factors of very large numbers ... In May 2016, IBM surprised the world with an announcement that it was making available a 5-qubit quantum computer on which researchers could run algorithms and experiments....

The USTreasury’s top diplomat ramped up his criticisms of China’s economic policies on Wednesday, accusing Beijing of “patently non-market behaviour” and saying that the United States needed stronger responses to counter it ... “They went to Davos a year ago and said... ....

This post was originally published on source. Only 50K among the millions of website owners will benefit from using smart algorithms to personalize their websites. Or from renting their UKTs out ... But very few of them manage to tailor one page to meet different consumer habits and preferences ... All you need is to transfer an existing website or create a new one on uKit’s platforms — and the rest will be done by the algorithms ... ....

Conspiracy theories arise online and off about the Florida school shooting. A Twitter bot purge significantly reduces the follower counts of conservative users, but Twitter claims it's not political ...Jeff's number ... Algorithms of Oppression. How Search Engines Reinforce Racism. Hosts....

SAN FRANCISCO (AP) — RPX Corp ...The San Francisco-based company said it had a loss of $1.93 per share ... The provider of new patent acquisition services posted revenue of $81.8 million in the period ... ————— ... ....